Triple

T22318255
Position Surface form Disambiguated ID Type / Status
Subject Fagerborg E551706 entity
Predicate hasNearbyNeighborhood P350 FINISHED
Object Uranienborg NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Uranienborg | Statement: [Fagerborg, hasNearbyNeighborhood, Uranienborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uranienborg
Context triple: [Fagerborg, hasNearbyNeighborhood, Uranienborg]
  • A. Uranienborg chosen
    Uranienborg is an affluent residential neighborhood in central Oslo, Norway, known for its elegant architecture, embassies, and proximity to the Royal Palace and major city amenities.
  • B. Wikborg
    Wikborg is a Norwegian surname most notably associated with politician and former Minister of Foreign Affairs Erling Wikborg.
  • C. Tivoli
    Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
  • D. Tivoli
    Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
  • E. Tivoli
    Tivoli is a suburb within the city of Ipswich in Queensland, Australia, known for its residential character and proximity to the Bremer River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157543d688190a151fade71880131 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.